Notification of proximal points of interest

ABSTRACT

One or more processors track internet usage of a user. The tracking includes tracking a first user input into one or more websites using a keylogging subprogram. One or more processors analyze the first user input. Analyzing the first user input includes using machine learning to gain knowledge of one or more interests of the first user based on the first user input. One or more processors determine a proximity of the first user to at least one point of interest within a first threshold distance of the first user while the first user is mobile, match at least one interest of the one or more interests of the first user with one or more interests associated with the at least one point of interest, and provide a notification that the first user is within the first threshold distance of the at least one point of interest.

BACKGROUND OF THE INVENTION

The present invention relates generally to the field of point ofinterest notification, and more particularly to the notification of acomputing device user of proximal points of interest.

Electronic maps of most of the developed world are available from anumber of electronic map providers. Metadata embedded in many of theseelectronic maps includes the whereabouts of numerous points of interestsuch as businesses, parks, railway and bus stations, stadiums,government offices, etc. In addition, there are several ways that acomputing device may be tracked on an electronic map. Thus, electronicmaps can show a user with a device his or her proximity to manydifferent points of interest. In fact, a user of a computing device caneven track the location of other users with computing devices usingelectronic maps. Hence, even a person can be a point of interest in somecases.

SUMMARY

Embodiments of the present invention provide a method, system, andprogram product for notification of proximal points of interest. One ormore processors track internet usage of a user. The tracking includestracking a first user input into one or more websites using a keyloggingsubprogram. One or more processors analyze the first user input.Analyzing the first user input includes using machine learning to gainknowledge of one or more interests of the first user based on the firstuser input. One or more processors determine a proximity of the firstuser to at least one point of interest within a first threshold distanceof the first user while the first user is mobile. One or more processorsmatch at least one interest of the one or more interests of the firstuser with one or more interests associated with the at least one pointof interest. One or more processors provide a notification that thefirst user is within the first threshold distance of the at least onepoint of interest.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

FIG. 1 is a functional block diagram illustrating a point of interest(POI) notification environment, in accordance with an exemplaryembodiment of the present invention.

FIG. 2 illustrates operational processes for determining user interests,matching the user interests with POIs, and providing a notification whenthe user location is at a threshold proximity to the POIs, on acomputing device within the environment of FIG. 1, in accordance with anexemplary embodiment of the present invention.

FIG. 3 illustrates operational processes for determining user interests,on a computing device within the environment of FIG. 1, in accordancewith an exemplary embodiment of the present invention.

FIG. 4 illustrates operational processes for matching the user interestswith POIs, on a computing device within the environment of FIG. 1, inaccordance with an exemplary embodiment of the present invention.

FIG. 5 is a functional block diagram illustrating components of the POInotification program within the on the computing device within theenvironment of FIG. 1, in accordance with an exemplary embodiment of thepresent invention.

FIG. 6 depicts a block diagram of components of the computing deviceexecuting the POI notification program, in accordance with an exemplaryembodiment of the present invention.

DETAILED DESCRIPTION

Embodiments of the present invention recognize that many individualspass by places, people, and things that are of interest to them (pointsof interest or POIs) without realizing it. Embodiments of the presentinvention provide a method, program product, and system to notifyindividuals that they are near one or more POIs.

The present invention will now be described in detail with reference tothe Figures.

FIG. 1 is a functional block diagram illustrating a POI notificationenvironment, generally designated 100, in accordance with one embodimentof the present invention. POI notification environment 100 includescomputing device 102, internet search engine 105, and electronic mapprovider 107 connected over network 112. Computing device 102 includesPOI notification program 104 and user interest database 106.

In various embodiments of the present invention, computing device 102 isa computing device that can be a standalone device, a mobile device, aserver, a laptop computer, a tablet computer, a netbook computer, apersonal computer (PC), or a desktop computer. In another embodiment,computing device 102 represents a computing system utilizing clusteredcomputers and components to act as a single pool of seamless resources.In general, computing device 102 can be any computing device or acombination of devices with access to user interest database 106,network 112, internet search engine 105, and electronic map provider 107and is capable of executing POI notification program 104. Computingdevice 102 may include internal and external hardware components, asdepicted and described in further detail with respect to FIG. 6.

In this exemplary embodiment, POI notification program 104 and userinterest database 106 are stored on computing device 102. However, inother embodiments, POI notification program 104 and user interestdatabase 106 may be stored externally and accessed through acommunication network, such as network 112. Network 112 can be, forexample, a local area network (LAN), a wide area network (WAN) such asthe Internet, or a combination of the two, and may include wired,wireless, fiber optic or any other connection known in the art. Ingeneral, network 112 can be any combination of connections and protocolsthat will support communications between POI notification program 104,user interest database 106, internet search engine 105, and electronicmap provider 107, in accordance with a desired embodiment of the presentinvention.

In exemplary embodiments, POI notification program 104 determines userinterests and stores these interests in user interest database 106. POInotification program 104 tracks the user position when the user ismobile and notifies the user when a POI with associated interests thatmatch one or more of the user interests is a threshold distance from theuser. POI notification program 104 also allows the user to share his orher interests with other users.

In exemplary embodiments, internet search engine 105 is one or more ofseveral known internet search engines and facilitates the ability of POInotification program 104 to determine one or both of: the user interestsand the interests associated with a given POI.

In exemplary embodiments, electronic map provider 107 is one or more ofseveral known electronic map providers and provides map data to POInotification program 104 that includes metadata such as POI locationsand the POI proximity to computing device 102.

FIG. 2 illustrates operational processes 200 for determining userinterests, matching the user interests with POIs, and providing anotification when the user location is at a threshold proximity to thePOIs, on a computing device within the environment of FIG. 1, inaccordance with an exemplary embodiment of the present invention.

In step 202, POI notification program 104 analyzes user input intocomputing device 102 in order to determine the user interests. Invarious embodiments, POI notification program 104 tracks and records theuser input into websites on the internet such as social websites,merchant websites, email websites, news websites, video websites, etc.POI notification program 104 tracks and records data such as input wordcontent, websites visited, objects and videos on the internet at whichthe user looks, visited website content, etc. Further details of theprocesses used by POI notification program 104 in determining userinterests are described in FIG. 3.

In step 204, POI notification program 104 matches user interests withPOI-associated interests when the user is mobile. As used hereinreferring to a user, “mobile” includes scenarios where the user is usinga computing device that is readily transported from place to place andis designed to be taken with the user when the user is, for example,traveling, running errands, or eating out. Examples of mobile computingdevices include, but are not limited to one or more of: a laptop,cellular phone, computing watch or other computing device adornment,etc. In one example, a user is mobile when they take a laptop to aninternet café. In another example, a user is mobile when they aretraveling to various locations with a cell phone or watch connected to,or connectable to, the internet through a WiFi source or a serviceprovider data plan. In various embodiments, POIs are locations providedto the user via electronic map provider 107. The interests associatedwith the POIs are derived from metadata and other data such as dataprovided by internet search engine 105. Further details of the processesused by POI notification program 104 in matching user interests withPOIs are described in FIG. 4.

In step 206, POI notification program 104 provides a notification whenthe user location is within a threshold proximity of one or more POIs.In various embodiments, the notification is directed at the user by POInotification program 104 through a computing device 102 user interface.In one embodiment, if the number of POIs exceeds a threshold number, POInotification program 104 filters the POI “hits” to a limited numberbased on various parameters. In one example, POI notification program104 uses the number of matches between the user interests and theinterests associated with various POIs to determine which POIs are shownto the user. In other words, the larger the number of matches betweenthe user interests and interests associated with a POI, the more likelyit is that POI notification program 104 will display that POI innotification step 206. In another example, POI notification program 104filters the display of POIs by a second threshold proximity to the user,which is a shorter distance than the first threshold proximity. In thisexample, the farther away the POI is, the less likely it is that the POIwill be displayed to the user.

POI notification program 104 can use other parameters to filter POIsthat exceed a threshold number. In one embodiment, POI “hits” arefiltered by the length of time since the user expressed interest in theuser interest(s) that match the interests associated with the POI. Forexample, a user expressed interest in buying a grill six months ago anda board game two weeks ago. Based on the different lengths of time sincethe user expressed an interest in either item, POI notification program104 only displays a POI where the user can buy a board game and not aPOI where the user can purchase a grill. In this embodiment, a useroptionally specifies the length of time that POI notification program104 will retain a user interest in user interest database 106 so thatthe user will not be shown POIs that the user no longer has any interestin. In another embodiment, POI “hits” are filtered so that redundancy isavoided. For example, user interest database 106 contains ten matchinguser interests. There are twenty POIs that are within the thresholdproximity of the user and the POIs have interests associated with themthat match at least one of the ten user interests. Seven of the POIshave associated interests that match just one of the ten matching userinterests. Each of the other nine matching user interests have no morethan two POIs that have matching associated interests. POI notificationprogram 104 preferably filters out some of the seven POIs that match theone user interest redundantly. In another embodiment, POI notificationprogram 104 filters out POI “hits” when it determines that the user isignoring these POIs, thereby indicating that the user interest that wasmatched by the POIs is no longer a user interest. In this embodiment,user interest database 106 is modified to erase that particular userinterest.

In various embodiments, the notification(s) are also broadcast by POInotification program 104 to POIs in the user area. In one embodiment,the broadcast is in lieu of notification(s) to the user because, forexample, the number of POIs within the threshold proximity exceeds athreshold number. In another example, the notification is a broadcastbecause the user has set the notification to a broadcast mode. In onescenario, the user is in a location and an acquaintance who has a secondcomputing device that is executing POI notification program 104 iswithin the threshold proximity of the user. POI notification program 104on one or both devices of the user and acquaintance broadcasts anotification letting either or both the user and acquaintance know theyare within the threshold proximity of each other.

FIG. 3 illustrates operational processes 300 for determining userinterests, on a computing device within the environment of FIG. 1, inaccordance with an exemplary embodiment of the present invention.

In step 302, POI notification program 104 monitors user input intocomputing device 102. In various embodiments, a keylogging subprogram inPOI notification program 104 records the user keystrokes. As discussedabove, POI notification program 104 tracks websites visited by the userand, using machine learning, gains knowledge of the user interests byrecording user input on these websites. For example, POI notificationprogram 104 tracks user input while visiting merchant websites in orderto learn what products or services the user may be interested in. Inanother example, POI notification program 104 tracks and records userinput when the user visits news websites in order to learn what currentevents interest the user. In yet another example, POI notificationprogram 104 records information relating to online videos the userwatches in order to learn what topics interest the user.

In step 304, POI notification program 104 analyzes the user input inorder to determine the user interests. In various embodiments, thekeylogging subprogram in POI notification program 104 determines textinput by the user and creates keyword lists, which provide a basis forlearning the user interests. The analysis of user internet usage alsoprovides information regarding the user interests. For example, userperusal of merchandise from a merchant website provides informationregarding goods the user is interested in purchasing. In anotherexample, analysis of user input on a social website or email websiteprovides information regarding relationships with other individuals.

In step 306, POI notification program 104 creates potential userinterests based on the analysis of the user input. In variousembodiments, user interests are based in part on the words that thekeylogging subprogram records. For example, multiple uses of the terms“bread,” “milk,” “ice cream,” and “hamburger” potentially indicates auser interest in restaurants or grocery stores. In another example,multiple uses of the terms “spark plugs,” “air filter,” “oil filter,”and “oil” potentially indicates a user interest in automobile repair orautomobile parts stores. In another example, the use of the terms “beachtowel,” “sandals,” “sunscreen,” and “beach ball” potentially indicates auser interest in a vacation on a seashore.

In various embodiments, POI notification program 104 creates potentialuser interests after analysis of internet websites visited by the user.For example, a user visit to a merchant website that sells golf clubspotentially indicates the user has an interest in buying one or moregolf clubs or other golfing equipment. In another example, a userposting messages on a social website that focuses on hiking indicatesthe user has an interest in hiking. In yet another example, a userperusing online videos of skydiving potentially indicates the user hasan interest in skydiving.

In step 308, POI notification program 104 stores the potential userinterests in user interest database 106. For the examples discussedabove, user interests stored in user interest database 106 includerestaurants, grocery stores, automobile maintenance, automobile parts, avacation on the seashore, purchasing golf equipment, hiking, andskydiving.

FIG. 4 illustrates operational processes 400 for matching the userinterests with interests associated with POIs, on a computing devicewithin the environment of FIG. 1, in accordance with an exemplaryembodiment of the present invention.

In step 402, POI notification program 104 detects the user currentlocation. In various embodiments, computing device 102 includes a globalpositioning system (GPS) receiver enabling device tracking viasatellite. In other embodiments, the position of computing device 102(and, hence, the user) is determined by triangulation of wirelesssignals emanating from, for example, wireless routers or cellulartowers.

In step 404, POI notification program 104 receives nearby POIs and theinterests associated with them from one or both electronic map provider107 and internet search engine 105. In various embodiments, electronicmap provider 107 provides a map and the location of the user on the map.The POIs within a threshold proximity are also provided by electronicmap provider 107 along with associated metadata that indicates interestsassociated with the POIs. Interests associated with the POIs are alsodetermined from internet searches via internet search engine 105.

In an example, POI notification program 104 has a user-selectedthreshold proximity of one mile. POI notification program 104 requestsall POIs and associated metadata from electronic map provider 107 withina one mile radius of the user location. POI notification programreceives the available data from electronic map provider 107 and doeskeyword searching of the supplied data using internet search engine 105in order to determine interests associated with POIs that are within theone mile radius.

In step 406, POI notification program 104 filters the points of interestto obtain POI(s) that have interests associated with them that match theuser interests in user interest database 106. POI notification program104 searches user interest database 106 for interest terms that matchterms found in the metadata associated with the POIs supplied byelectronic map provider 107 as well as data retrieved from searchesusing internet search engine 105. In exemplary embodiments, POInotification program 104 employs Boolean searches using both the userinterests contained in user interest database and keywords contained inthe electronic map provider 107 data to find matches between the userinterests and the POIs with the threshold proximity. For example, POInotification program 104 will use logic connectors such as “and” toretrieve data showing whether a user interest and an interest associatedwith a POI are related.

FIG. 5 is a functional block diagram illustrating components of POInotification program 104 on computing device 102 within the environmentof FIG. 1, in accordance with an exemplary embodiment of the presentinvention.

Interest engine module 504 monitors and analyzes user input via userinterface 502 and determines what the user interests are. In variousembodiments, interest engine module 504 is automatically launched whenuser input begins. Interest engine module 504 determines user interestsby monitoring and analyzing, for example, websites visited or keyloggingdata. Interest engine module 504 then stores the user interests in userinterest database 106.

Notification module 506 receives map location and POIs along with POImetadata from electronic map provider 107. Notification module 506conducts searches via internet search engine 105 to obtain moreinterests associated with POIs provided by electronic map provider 107.Notification module 506 searches user interest database 106 for userinterests that match the interests associated with the POIs provided byelectronic map provider 107.

Filter module 508 sorts and optionally filters the POIs with associatedinterests that match the user interests. Filter module 508 displays thesorted and optionally filtered POIs to the user.

Share module 510 allows a user to share their interests with otherusers. In various embodiments, a first user sends a request to a seconduser asking if the second user would like to share interests with thefirst user. In some embodiments, the two users will also determine howmany and what kind of interests they will share. Upon agreement thatinterests will be shared by the users, share module 510 executes thetransfer of interests between the users.

FIG. 6 depicts a block diagram, 600, of components of computing device102, in accordance with an illustrative embodiment of the presentinvention. It should be appreciated that FIG. 6 provides only anillustration of one implementation and does not imply any limitationswith regard to the environments in which different embodiments may beimplemented. Many modifications to the depicted environment may be made.

Computing device 102 includes communications fabric 602, which providescommunications between computer processor(s) 604, memory 606, persistentstorage 608, communications unit 610, and input/output (I/O)interface(s) 612. Communications fabric 602 can be implemented with anyarchitecture designed for passing data and/or control informationbetween processors (such as microprocessors, communications and networkprocessors, etc.), system memory, peripheral devices, and any otherhardware components within a system. For example, communications fabric602 can be implemented with one or more buses.

Memory 606 and persistent storage 608 are computer-readable storagemedia. In this embodiment, memory 606 includes random access memory(RAM) 614 and cache memory 616. In general, memory 606 can include anysuitable volatile or non-volatile computer-readable storage media.

User interest database 106 and POI notification program 104 are storedin persistent storage 608 for execution and/or access by one or more ofthe respective computer processors 604 via one or more memories ofmemory 606. In this embodiment, persistent storage 608 includes amagnetic hard disk drive. Alternatively, or in addition to a magnetichard disk drive, persistent storage 608 can include a solid state harddrive, a semiconductor storage device, read-only memory (ROM), erasableprogrammable read-only memory (EPROM), flash memory, or any othercomputer-readable storage media that is capable of storing programinstructions or digital information.

The media used by persistent storage 608 may also be removable. Forexample, a removable hard drive may be used for persistent storage 608.Other examples include optical and magnetic disks, thumb drives, andsmart cards that are inserted into a drive for transfer onto anothercomputer-readable storage medium that is also part of persistent storage608.

Communications unit 610, in these examples, provides for communicationswith other data processing systems or devices, including resources ofnetwork 112. In these examples, communications unit 610 includes one ormore network interface cards. Communications unit 610 may providecommunications through the use of either or both physical and wirelesscommunications links. User interest database 106 and POI notificationprogram 104 may be downloaded to persistent storage 608 throughcommunications unit 610.

I/O interface(s) 612 allows for input and output of data with otherdevices that may be connected to computing device 102. For example, I/Ointerface 612 may provide a connection to external devices 618 such as akeyboard, keypad, a touch screen, and/or some other suitable inputdevice. External devices 618 can also include portable computer-readablestorage media such as, for example, thumb drives, portable optical ormagnetic disks, and memory cards. Software and data used to practiceembodiments of the present invention, e.g., user interest database 106and POI notification program 104, can be stored on such portablecomputer-readable storage media and can be loaded onto persistentstorage 608 via I/O interface(s) 612. I/O interface(s) 612 also connectto a display 620.

Display 620 provides a mechanism to display data to a user and may be,for example, a computer monitor, or a television screen.

The present invention may be a system, a method, and/or a computerprogram product. The computer program product may include a computerreadable storage medium (or media) having computer readable programinstructions thereon for causing a processor to carry out aspects of thepresent invention.

The computer readable storage medium can be a tangible device that canretain and store instructions for use by an instruction executiondevice. The computer readable storage medium may be, for example, but isnot limited to, an electronic storage device, a magnetic storage device,an optical storage device, an electromagnetic storage device, asemiconductor storage device, or any suitable combination of theforegoing. A non-exhaustive list of more specific examples of thecomputer readable storage medium includes the following: a portablecomputer diskette, a hard disk, a random access memory (RAM), aread-only memory (ROM), an erasable programmable read-only memory (EPROMor Flash memory), a static random access memory (SRAM), a portablecompact disc read-only memory (CD-ROM), a digital versatile disk (DVD),a memory stick, a floppy disk, a mechanically encoded device such aspunch-cards or raised structures in a groove having instructionsrecorded thereon, and any suitable combination of the foregoing. Acomputer readable storage medium, as used herein, is not to be construedas being transitory signals per se, such as radio waves or other freelypropagating electromagnetic waves, electromagnetic waves propagatingthrough a waveguide or other transmission media (e.g., light pulsespassing through a fiber-optic cable), or electrical signals transmittedthrough a wire.

Computer readable program instructions described herein can bedownloaded to respective computing/processing devices from a computerreadable storage medium or to an external computer or external storagedevice via a network, for example, the Internet, a local area network, awide area network and/or a wireless network. The network may comprisecopper transmission cables, optical transmission fibers, wirelesstransmission, routers, firewalls, switches, gateway computers and/oredge servers. A network adapter card or network interface in eachcomputing/processing device receives computer readable programinstructions from the network and forwards the computer readable programinstructions for storage in a computer readable storage medium withinthe respective computing/processing device.

Computer readable program instructions for carrying out operations ofthe present invention may be assembler instructions,instruction-set-architecture (ISA) instructions, machine instructions,machine dependent instructions, microcode, firmware instructions,state-setting data, or either source code or object code written in anycombination of one or more programming languages, including an objectoriented programming language such as Smalltalk, C++ or the like, andconventional procedural programming languages, such as the “C”programming language or similar programming languages. The computerreadable program instructions may execute entirely on the user'scomputer, partly on the user's computer, as a stand-alone softwarepackage, partly on the user's computer and partly on a remote computeror entirely on the remote computer or server. In the latter scenario,the remote computer may be connected to the user's computer through anytype of network, including a local area network (LAN) or a wide areanetwork (WAN), or the connection may be made to an external computer(for example, through the Internet using an Internet Service Provider).In some embodiments, electronic circuitry including, for example,programmable logic circuitry, field-programmable gate arrays (FPGA), orprogrammable logic arrays (PLA) may execute the computer readableprogram instructions by utilizing state information of the computerreadable program instructions to personalize the electronic circuitry,in order to perform aspects of the present invention.

Aspects of the present invention are described herein with reference toflowchart illustrations and/or block diagrams of methods, apparatus(systems), and computer program products according to embodiments of theinvention. It will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer readable program instructions.

These computer readable program instructions may be provided to aprocessor of a general purpose computer, special purpose computer, orother programmable data processing apparatus to produce a machine, suchthat the instructions, which execute via the processor of the computeror other programmable data processing apparatus, create means forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks. These computer readable program instructionsmay also be stored in a computer readable storage medium that can directa computer, a programmable data processing apparatus, and/or otherdevices to function in a particular manner, such that the computerreadable storage medium having instructions stored therein comprises anarticle of manufacture including instructions which implement aspects ofthe function/act specified in the flowchart and/or block diagram blockor blocks.

The computer readable program instructions may also be loaded onto acomputer, other programmable data processing apparatus, or other deviceto cause a series of operational steps to be performed on the computer,other programmable apparatus or other device to produce a computerimplemented process, such that the instructions which execute on thecomputer, other programmable apparatus, or other device implement thefunctions/acts specified in the flowchart and/or block diagram block orblocks.

The flowchart and block diagrams in the figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods, and computer program products according to variousembodiments of the present invention. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof instructions, which comprises one or more executable instructions forimplementing the specified logical function(s). In some alternativeimplementations, the functions noted in the block may occur out of theorder noted in the figures. For example, two blocks shown in successionmay, in fact, be executed substantially concurrently, or the blocks maysometimes be executed in the reverse order, depending upon thefunctionality involved. It will also be noted that each block of theblock diagrams and/or flowchart illustration, and combinations of blocksin the block diagrams and/or flowchart illustration, can be implementedby special purpose hardware-based systems that perform the specifiedfunctions or acts or carry out combinations of special purpose hardwareand computer instructions.

The programs described herein are identified based upon the applicationfor which they are implemented in a specific embodiment of theinvention. However, it should be appreciated that any particular programnomenclature herein is used merely for convenience, and thus theinvention should not be limited to use solely in any specificapplication identified and/or implied by such nomenclature.

It is to be noted that the term(s) such as “Smalltalk” and the like maybe subject to trademark rights in various jurisdictions throughout theworld and are used here only in reference to the products or servicesproperly denominated by the marks to the extent that such trademarkrights may exist.

What is claimed is:
 1. A computer-implemented method comprising:tracking, by one or more computer processors, a first user input intoone or more websites; analyzing, by the one or more processors, thefirst user input, wherein analyzing the first user input includes usingmachine learning to gain knowledge of one or more interests of the firstuser based on the first user input; determining, by the one or moreprocessors, a proximity of the first user to points of interest within afirst threshold distance of the first user while the first user ismobile; matching, by the one or more processors, at least one interestof the one or more interests of the first user with one or moreinterests associated with the points of interest, yielding matchedpoints of interest; filtering, by the one or more processors, thematched points of interest by removing a point of interest for which thefirst user ignored a threshold number of notifications, yielding atleast one point of interest; and providing, by the one or moreprocessors, to the first user and to the at least one point of interest,a notification that the first user is within the first thresholddistance of the at least one point of interest.
 2. Thecomputer-implemented method of claim 1, further comprising: sharing, bythe one or more computer processors, the at least one interest of theone or more interests of the first user with at least one second user.3. The computer-implemented method of claim 1, further comprising:erasing, by the one or more computer processors, a particular interestfrom a database of the one or more interests based, at least in part, onthe particular interest matching the removed point of interest.
 4. Thecomputer-implemented method of claim 1, wherein the notification isfurther provided to a second user that is within a threshold proximityof the first user.
 5. The computer-implemented method of claim 1,wherein the at least one point of interest includes an activity that isdetermined to be of interest to the first user.
 6. Thecomputer-implemented method of claim 1, further comprising: furtherfiltering, by the one or more computer processors, the at least onepoint of interest from the matched points of interest based, at least inpart, on a respective number of interests associated with the at leastone point of interest that match the at least one interest compared to arespective number of interests associated with one or more other pointsof interest that match the at least one interest.
 7. Thecomputer-implemented method of claim 1, wherein the one or more websitesinclude one or more merchant websites.
 8. The computer-implementedmethod of claim 1, further comprising: determining, by one or morecomputer processors, the one or more interests associated with the atleast one point of interest by searching an internet search engine usinginformation about the at least one point of interest provided by anelectronic map provider.
 9. A computer program product comprising one ormore computer-readable storage media and program instructions stored onat least one of the one or more computer-readable storage media, thestored program instructions comprising: program instructions to track afirst user input into one or more websites; program instructions toanalyze the first user input, wherein analyzing the first user inputincludes using machine learning to gain knowledge of one or moreinterests of the first user based on the first user input; programinstructions to determine a proximity of the first user to points ofinterest within a first threshold distance of the first user while thefirst user is mobile; program instructions to match at least oneinterest of the one or more interests of the first user with one or moreinterests associated with the points of interest, yielding matchedpoints of interest; program instructions to filter the matched points ofinterest by removing a point of interest for which the first userignored a threshold number of notifications, yielding at least one pointof interest; and program instructions to provide, to the first user andto the at least one point of interest, a notification that the firstuser is within the first threshold distance of the at least one point ofinterest.
 10. The computer program product of claim 9, the storedprogram instructions further comprising: program instructions to sharethe at least one interest of the one or more interests of the first userwith at least one second user.
 11. The computer program product of claim9, the stored program instructions further comprising: programinstructions to erase a particular interest from a database of the oneor more interests based, at least in part, on the particular interestmatching the removed point of interest.
 12. The computer program productof claim 9, wherein the notification is further provided to a seconduser that is within a threshold proximity of the first user.
 13. Thecomputer program product of claim 9, wherein the at least one point ofinterest includes an activity that is determined to be of interest tothe first user.
 14. A computer system comprising: one or moreprocessors; one or more computer-readable storage media; and programinstructions stored on at least one of the one or more computer-readablestorage media, the stored program instructions executable by the one ormore processors, the stored program instructions comprising: programinstructions to track a first user input into one or more websites;program instructions to analyze the first user input, wherein analyzingthe first user input includes using machine learning to gain knowledgeof one or more interests of the first user based on the first userinput; program instructions to determine a proximity of the first userto points of interest within a first threshold distance of the firstuser while the first user is mobile; program instructions to match atleast one interest of the one or more interests of the first user withone or more interests associated with the points of interest, yieldingmatched points of interest; program instructions to filter the matchedpoints of interest by removing a point of interest for which the firstuser ignored a threshold number of notifications, yielding at least onepoint of interest; and program instructions to provide, to the firstuser and to the at least one point of interest, a notification that thefirst user is within the first threshold distance of the at least onepoint of interest.
 15. The computer system of claim 14, the storedprogram instructions further comprising: program instructions to sharethe at least one interest of the one or more interests of the first userwith at least one second user.
 16. The computer system of claim 14, thestored program instructions further comprising: program instructions toerase a particular interest from a database of the one or more interestsbased, at least in part, on the particular interest matching the removedpoint of interest.
 17. The computer system of claim 14, wherein the atleast one point of interest includes an activity that is determined tobe of interest to the first user.